IP Library Granted Patent US 10,380,809
Granted Patent B2
US 10,380,809 · App. 15/119,392 · Granted Aug 13, 2019

System and method of fault detection

Inventor: Frazer Leslie Pereira (Cheltenham, GB)
Assignee: GE AVIATION SYSTEMS LLC
G07C5/0808B64F5/60G01R31/008G05B23/0264G05B23/0283
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Quick Facts
Patent No.
US 10,380,809
App. No.
15/119,392
Granted
Aug 13, 2019
Kind
B2
Abstract

A fault monitoring system for an aircraft includes a processor having a fault diagnosis algorithm, a memory connected to the processor, a plurality of sensors located at selected nodes in an electrical network of the aircraft and connected to the processor, and a data collection algorithm in one of the processor or the plurality of sensors. Each sensor is configured to continuously monitor voltage and current of the electrical network at its selected node and to transmit data representative of the monitored voltage and current to the processor. Upon the occurrence of a fault event, the data collection algorithm selects a subset of the data related to the fault event and at least one sensor transmits a selected subset of the data to one of the processor or the memory.

Claims (23)

1. A fault monitoring system for an aircraft comprising:

a plurality of sensors located at selected nodes in an electrical network of the aircraft,

a processor having a fault diagnosis algorithm, the processor remote from the plurality of sensors and commonly accessible to the plurality of sensors through a communications network,

a memory connected to the processor, and

a data collection algorithm in one of the processor or the plurality of sensors,

wherein each sensor is configured to continuously monitor voltage and current of the electrical network at its selected node, and

wherein upon the occurrence of a fault event, the data collection algorithm selects a subset of the data related to the fault event including at least a portion of the continuously monitored voltage and current immediately preceding the fault event and at least one sensor transmits the selected subset of the data to one of the processor or the memory.

2. The fault monitoring system of claim 1 wherein the selected subset of the data includes data collected over a predetermined time period measured from the fault event.

3. The fault monitoring system of claim 2 wherein the predetermined time period precedes the fault event.

4. The fault monitoring system of claim 2 wherein the predetermined time period commences with the fault event.

5. The fault monitoring system of claim 1 wherein the selected subset of the data is transmitted from at least one of the plurality of sensors using power line communication.

6. The fault monitoring system of claim 1 wherein the fault diagnosis algorithm evaluates the fault event.

7. The fault monitoring system of claim 1 further comprising a fault prognosis algorithm configured to evaluate the selected subset of the data from the memory and, based on the evaluation, predicts a fault in the electrical network of the aircraft.

8. A method of monitoring an electrical network for faults in an aircraft comprising:

continuously monitoring and collecting data representative of voltage and current of the electrical network at selected nodes,

evaluating the data to identify a fault event, and if a fault event is identified,

selecting a subset of the data related to the fault event including at least a portion of the data immediately preceding the fault event, and

transmitting the selected subset of the data to one of a processor or memory for later analysis,

wherein the one of the processor or memory is remote from the selected nodes and commonly accessible to the selected nodes.

9. The method of claim 8 wherein the selecting step is based on a predetermined time period related to the fault event.

10. The method of claim 9 wherein the predetermined time period precedes the fault event.

11. The method of claim 9 wherein the predetermined time period commences with the fault event.

12. The method of claim 8 further comprising evaluating the selected subset of the data and, based on the evaluation, predicting a fault in the electrical network of the aircraft.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 17, 2016
From: PEREIRA, FRAZER LESLIE
To: GE AVIATION SYSTEMS LLC
Reel/Frame 039460/0340 →
Priority Claims (1)
IN 863/CHE/2014 · Feb 21, 2014 · national
Continuity (1)
Related Publication 20170053463A1 · Feb 23, 2017
Cited By (1)
US 12,333,224